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Network Bargaining: Using Approximate Blocking Sets to Stabilize Unstable Instances

机译:网络讨价还价:使用近似阻止集来稳定不稳定的实例

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We study a network extension to the Nash bargaining game, as introduced by Kleinberg and Tardos [6], where the set of players corresponds to vertices in a graph G = (V, E) and each edge ij ∈ E represents a possible deal between players i and j. We reformulate the problem as a cooperative game and study the following question: Given a game with an empty core (i.e. an unstable game) is it possible, through minimal changes in the underlying network, to stabilize the game? We show that by removing edges in the network that belong to a blocking set we can find a stable solution in polynomial time. This motivates the problem of finding small blocking sets. While it has been previously shown that finding the smallest blocking set is NP-hard [2], we show that it is possible to efficiently find approximate blocking sets in sparse graphs.
机译:我们研究了由Kleinberg和Tardos [6]引入的Nash讨价还价博弈的网络扩展,其中一组参与者对应于图G =(V,E)中的顶点,并且每个边ij∈E代表之间的可能交易。玩家i和j。我们将问题重新表述为合作博弈,并研究以下问题:给定一个核心为空的博弈(即不稳定博弈),是否可以通过基础网络的最小变化来稳定该博弈?我们表明,通过删除网络中属于阻塞集的边,我们可以在多项式时间内找到稳定的解决方案。这引发了寻找小的阻塞集的问题。虽然先前已经证明找到最小的块集是NP-hard [2],但我们表明有可能在稀疏图中有效地找到近似的块集。

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